Title :
Energy detection spectrum sensing of M-ary QAM systems over AWGN channels
Author :
Chaves, Daniel Sant Anna ; Barreto, André Noll
Author_Institution :
Dept. of Electr. Eng., Univ. of Brasilia, Brasília, Brazil
Abstract :
This article addresses energy detection for spectrum sensing of M-ary quadrature amplitude modulation (QAM) systems. Analytical expressions are developed for the average probability of detection in these systems. The analytical results are validated by numerical simulations and comparisons with different approximated approaches found in the literature are made. We see that the approximations usually found in existing literature are good for a large number of sensing samples or for very low SNR levels, but, otherwise, the use of a particular modulation scheme may have an impact on sensing performance.
Keywords :
AWGN channels; modulation; numerical analysis; quadrature amplitude modulation; AWGN channels; M-ary QAM systems; M-ary quadrature amplitude modulation; SNR levels; detection probability; energy detection spectrum sensing; modulation scheme; numerical simulations; sensing performance; Cognitive radio; Energy states; Probability; Quadrature amplitude modulation; Sensors; Signal to noise ratio; Energy Detection; QAM systems; energy distribution; unknown signal detection;
Conference_Titel :
Wireless Communication Systems (ISWCS), 2012 International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4673-0761-1
Electronic_ISBN :
2154-0217
DOI :
10.1109/ISWCS.2012.6328339